Naoki Uno
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
- Epidemiology 15
- Pneumonia and Respiratory Infections 5
- Respiratory viral infections research 4
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- Antibiotic Resistance in Bacteria 14
- Co-authors
- Katsunori Yanagihara (42 shared papers)Hiroo Hasegawa (39 shared papers)Yoshitomo Morinaga (35 shared papers)Norihito Kaku (31 shared papers)Kosuke Kosai (27 shared papers)Koichi Izumikawa (20 shared papers)Changchun Liu (3 shared papers)Ziyue Li (3 shared papers)
- Journals
- Cancer Science (3 papers)Diagnostic Microbiology and Infectious Disease (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)PLoS ONE (2 papers)Journal of Microbiological Methods (2 papers)
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Naoki Uno
49 papers receiving 586 citations
Peers
Comparison fields: 5 of 85
- Molecular Medicine 137
- Applied Microbiology and Biotechnology 28
- Clinical Biochemistry 69
- Endocrinology 45
- Infectious Diseases 110
Countries citing papers authored by Naoki Uno
This map shows the geographic impact of Naoki Uno's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Naoki Uno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Uno more than expected).
Fields of papers citing papers by Naoki Uno
This network shows the impact of papers produced by Naoki Uno. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Naoki Uno. The network helps show where Naoki Uno may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoki Uno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 57 | |
| 2 | 2023 | 49 | |
| 3 | 2023 | 33 | |
| 4 | 2014 | 28 | |
| 5 | 2018 | 22 | |
| 6 | 2014 | 21 | |
| 7 | 2016 | 20 | |
| 8 | 2014 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 17 | |
| 11 | 2019 | 17 | |
| 12 | 2014 | 17 | |
| 13 | 2016 | 15 | |
| 14 | 2019 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2015 | 14 | |
| 17 | 2012 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 2012 | 13 | |
| 20 | 2017 | 13 |
About Naoki Uno
Naoki Uno is a scholar working on Epidemiology, Molecular Medicine, Infectious Diseases, Immunology and Molecular Biology, having authored 51 papers that have together received 601 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Bacterial Identification and Susceptibility Testing (8 papers), T-cell and Retrovirus Studies (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Pneumonia and Respiratory Infections (5 papers), Vector-Borne Animal Diseases (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Molecular Medicine (137 citations), Applied Microbiology and Biotechnology (28 citations), Clinical Biochemistry (69 citations), Endocrinology (45 citations) and Infectious Diseases (110 citations). Naoki Uno has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Katsunori Yanagihara, Hiroo Hasegawa, Yoshitomo Morinaga, Norihito Kaku, Kosuke Kosai, Koichi Izumikawa, Changchun Liu, Ziyue Li, Lori Avery and Taiga Miyazaki. Their work appears in journals such as Cancer Science, Diagnostic Microbiology and Infectious Disease, Antimicrobial Agents and Chemotherapy, PLoS ONE and Journal of Microbiological Methods.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.